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Benign Overfitting in Multiclass Classification: All Roads Lead to
  Interpolation

Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation

21 June 2021
Ke Wang
Vidya Muthukumar
Christos Thrampoulidis
ArXivPDFHTML

Papers citing "Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation"

12 / 12 papers shown
Title
Provable Weak-to-Strong Generalization via Benign Overfitting
Provable Weak-to-Strong Generalization via Benign Overfitting
David X. Wu
A. Sahai
65
6
0
06 Oct 2024
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying
  Bandwidth or Dimensionality
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev
Gal Vardi
Nathan Srebro
65
3
0
05 Sep 2024
Implicit Bias and Fast Convergence Rates for Self-attention
Implicit Bias and Fast Convergence Rates for Self-attention
Bhavya Vasudeva
Puneesh Deora
Christos Thrampoulidis
29
13
0
08 Feb 2024
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
David X. Wu
A. Sahai
26
2
0
23 Jun 2023
General Loss Functions Lead to (Approximate) Interpolation in High
  Dimensions
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions
Kuo-Wei Lai
Vidya Muthukumar
21
5
0
13 Mar 2023
Tight bounds for maximum $\ell_1$-margin classifiers
Tight bounds for maximum ℓ1\ell_1ℓ1​-margin classifiers
Stefan Stojanovic
Konstantin Donhauser
Fanny Yang
35
0
0
07 Dec 2022
Learning curves for the multi-class teacher-student perceptron
Learning curves for the multi-class teacher-student perceptron
Elisabetta Cornacchia
Francesca Mignacco
R. Veiga
Cédric Gerbelot
Bruno Loureiro
Lenka Zdeborová
15
21
0
22 Mar 2022
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of
  Overparameterized Machine Learning
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
Yehuda Dar
Vidya Muthukumar
Richard G. Baraniuk
29
71
0
06 Sep 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
124
165
0
29 Jan 2021
Failures of model-dependent generalization bounds for least-norm
  interpolation
Failures of model-dependent generalization bounds for least-norm interpolation
Peter L. Bartlett
Philip M. Long
85
29
0
16 Oct 2020
On the proliferation of support vectors in high dimensions
On the proliferation of support vectors in high dimensions
Daniel J. Hsu
Vidya Muthukumar
Ji Xu
22
42
0
22 Sep 2020
Multiclass Classification Calibration Functions
Multiclass Classification Calibration Functions
Bernardo Avila-Pires
Csaba Szepesvári
70
27
0
20 Sep 2016
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